Data & AI Consultant at Accenture

Sydney, New South Wales, Australia

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Insurance, Professional Services, TechnologyIndustries

Requirements

Qualifications in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Business Management, Economics or similar areas
Experience in deploying AI solutions in analytics-enabled digital transformations
Demonstrated experience in working with cloud technologies e.g. AWS, GCP or Azure
Experience in designing and implementing data & AI solutions
Direct experience owning or leading a project engagement to achieve successful outcomes
Strong interpersonal and communications skills to actively engage with clients
Ability to identify opportunities and deliver programs to enhance business processes using data
Driving the adoption of responsible, ethical, regulatory and sustainable practices in development and deployment of artificial intelligence (AI) systems
Proactive awareness of emerging technologies, trends, and innovations with data & AI, and its implications to a specific industry
Industry exposure: Public Sector, Health, Banking, Telco, Insurance, Financial Services or Resources (Mining, Utilities)
Understanding of industry specific challenges, regulatory considerations, and trends
Progressive expertise in R and/or Python (other scientific languages are advantageous)
Valid working rights within Australia (i.e. citizenship or Permanent residency)

Responsibilities

Work with insurance clients to design and implement AI based decision-making frameworks and models to drive insights for decision making to solve business challenges
Maintain key client relationships
Engage across the business at multiple levels
Identify opportunities for Data and AI
Build capability with key teams internally

Skills

Statistics

Applied Mathematics

Operations Research

Computer Science

AWS

GCP

Azure

Cloud Technologies

Data Solutions

Analytics

Digital Transformations

Project Leadership

Client Engagement

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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